Machine Learning

Predicting the Risk of Sleep Disorders Using a Machine Learning–Based Simple Questionnaire: Development and Validation Study

Seokmin Ha, Su Jung Choi, Sujin Lee, Reinatt Hansel Wijaya, Jee Hyun Kim, Eun Yeon Joo, Jae Kyoung Kim

J Med Internet Res 2023 (Sep 21); 25:e46520

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Development and Integration of Machine Learning Algorithm to Identify Peripheral Arterial Disease: Multistakeholder Qualitative Study

Sabrina M Wang, H D Jeffry Hogg, Devdutta Sangvai, Manesh R Patel, E Hope Weissler, Katherine C Kellogg, William Ratliff, Suresh Balu, Mark Sendak

JMIR Form Res 2023 (Sep 21); 7:e43963

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Differing Behaviors Around Adult Nonmedical Use of Prescription Stimulants and Opioids: Latent Class Analysis

Karilynn M Rockhill, Richard Olson, Richard C Dart, Janetta L Iwanicki, Joshua C Black

J Med Internet Res 2023 (Sep 20); 25:e46742

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Large Language Models for Epidemiological Research via Automated Machine Learning: Case Study Using Data From the British National Child Development Study

Rasmus Wibaek, Gregers Stig Andersen, Christina C Dahm, Daniel R Witte, Adam Hulman

JMIR Med Inform 2023 (Sep 19); 11:e43638

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Automating Detection of Drug-Related Harms on Social Media: Machine Learning Framework

Andrew Fisher, Matthew Maclaren Young, Doris Payer, Karen Pacheco, Chad Dubeau, Vijay Mago

J Med Internet Res 2023 (Sep 19); 25:e43630

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Estimating Patient Satisfaction Through a Language Processing Model: Model Development and Evaluation

Shinichi Matsuda, Takumi Ohtomo, Masaru Okuyama, Hiraku Miyake, Kotonari Aoki

JMIR Form Res 2023 (Sep 14); 7:e48534

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Determinants of Intravenous Infusion Longevity and Infusion Failure via a Nonlinear Model Analysis of Smart Pump Event Logs: Retrospective Study

Arash Kia, James Waterson, Norma Bargary, Stuart Rolt, Kevin Burke, Jeremy Robertson, Samuel Garcia, Alessio Benavoli, David Bergström

JMIR AI 2023 (Sep 13); 2:e48628

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Predicting the 5-Year Risk of Nonalcoholic Fatty Liver Disease Using Machine Learning Models: Prospective Cohort Study

Guoqing Huang, Qiankai Jin, Yushan Mao

J Med Internet Res 2023 (Sep 12); 25:e46891

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Identification of Risk Groups for and Factors Affecting Metabolic Syndrome in South Korean Single-Person Households Using Latent Class Analysis and Machine Learning Techniques: Secondary Analysis Study

Ji-Soo Lee, Soo-Kyoung Lee

JMIR Form Res 2023 (Sep 12); 7:e42756

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Implementation of Machine Learning Applications in Health Care Organizations: Protocol for a Systematic Review of Empirical Studies

Vittoria Ardito, Giulia Cappellaro, Amelia Compagni, Francesco Petracca, Luigi Maria Preti

JMIR Res Protoc 2023 (Sep 12); 12:e47971

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Machine Learning for the Prediction of Procedural Case Durations Developed Using a Large Multicenter Database: Algorithm Development and Validation Study

Samir Kendale, Andrew Bishara, Michael Burns, Stuart Solomon, Matthew Corriere, Michael Mathis

JMIR AI 2023 (Sep 08); 2:e44909

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Combinatorial Use of Machine Learning and Logistic Regression for Predicting Carotid Plaque Risk Among 5.4 Million Adults With Fatty Liver Disease Receiving Health Check-Ups: Population-Based Cross-Sectional Study

Yuhan Deng, Yuan Ma, Jingzhu Fu, Xiaona Wang, Canqing Yu, Jun Lv, Sailimai Man, Bo Wang, Liming Li

JMIR Public Health Surveill 2023 (Sep 07); 9:e47095

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An Explainable Artificial Intelligence Software Tool for Weight Management Experts (PRIMO): Mixed Methods Study

Glenn J Fernandes, Arthur Choi, Jacob Michael Schauer, Angela F Pfammatter, Bonnie J Spring, Adnan Darwiche, Nabil I Alshurafa

J Med Internet Res 2023 (Sep 06); 25:e42047

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Data-Efficient Computational Pathology Platform for Faster and Cheaper Breast Cancer Subtype Identifications: Development of a Deep Learning Model

Kideog Bae, Young Seok Jeon, Yul Hwangbo, Chong Woo Yoo, Nayoung Han, Mengling Feng

JMIR Cancer 2023 (Sep 05); 9:e45547

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Consolidated Reporting Guidelines for Prognostic and Diagnostic Machine Learning Modeling Studies: Development and Validation

William Klement, Khaled El Emam

J Med Internet Res 2023 (Aug 31); 25:e48763

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Effect of Benign Biopsy Findings on an Artificial Intelligence–Based Cancer Detector in Screening Mammography: Retrospective Case-Control Study

Athanasios Zouzos, Aleksandra Milovanovic, Karin Dembrower, Fredrik Strand

JMIR AI 2023 (Aug 31); 2:e48123

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Artificial Intelligence–Based Consumer Health Informatics Application: Scoping Review

Onur Asan, Euiji Choi, Xiaomei Wang

J Med Internet Res 2023 (Aug 30); 25:e47260

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An Artificial Intelligence Model for Predicting Trauma Mortality Among Emergency Department Patients in South Korea: Retrospective Cohort Study

Seungseok Lee, Wu Seong Kang, Do Wan Kim, Sang Hyun Seo, Joongsuck Kim, Soon Tak Jeong, Dong Keon Yon, Jinseok Lee

J Med Internet Res 2023 (Aug 29); 25:e49283

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Sharing Data With Shared Benefits: Artificial Intelligence Perspective

Mohammad Tajabadi, Linus Grabenhenrich, Adèle Ribeiro, Michael Leyer, Dominik Heider

J Med Internet Res 2023 (Aug 29); 25:e47540

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Machine Learning–Enabled Clinical Information Systems Using Fast Healthcare Interoperability Resources Data Standards: Scoping Review

Jeremy A Balch, Matthew M Ruppert, Tyler J Loftus, Ziyuan Guan, Yuanfang Ren, Gilbert R Upchurch, Tezcan Ozrazgat-Baslanti, Parisa Rashidi, Azra Bihorac

JMIR Med Inform 2023 (Aug 24); 11:e48297

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